The face Detection methodsis used in order to provide security. The mentioned methods problems are that it cannot be categorized because of the great differences and varieties in the face of individuals. In this paper, face Detection methods has been presented for overc
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The face Detection methodsis used in order to provide security. The mentioned methods problems are that it cannot be categorized because of the great differences and varieties in the face of individuals. In this paper, face Detection methods has been presented for overcoming upon these problems based on skin color datum. The researcher gathered a face database of 30 individuals consisting of over 450 facial images to test fully automated face detection without verification, fully automated face detection with verification, manual face detection and automated face recognition, fully automated face detection and recognition and pose invariant face recognition. Successful results were obtained for automated face detection and for automated face recognition under robust conditions. In presented method, Scratch using Gaussian filter and morphology processing of the face areawould be selected and more complex neural network has been trained with over 200 images and totally, Three different sets of various images have been studied in terms of appearance number and lighting and quality. The experimental results showed the reliability of this method. In fact, by offering face recognition algorithm with color by artificial neural network is able to identify different types of faces. The accurateness of the proposed method would be more than 95 percent.
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